eprintid: 5377
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/53/77
datestamp: 2023-11-09 16:17:06
lastmod: 2023-11-09 16:17:06
status_changed: 2023-11-09 16:01:28
type: article
metadata_visibility: show
creators_name: Hamdi, Z.
creators_name: Awang, M.
title: CO2 minimum miscibility pressure determination of pure hydrocarbons in different temperatures using slimtube simulations
ispublished: pub
note: cited By 8
abstract: Slimtube experiments are used as a determination of Minimum Miscibility Pressure (MMP) for different Enhanced Oil Recovery (EOR) techniques. It is the most reliable technique available for MMP determination. Since slimtube experiments are time consuming, simulation of the process is highly beneficial for fast determination of MMP. This article presents a new set of slimtube simulations to obtain MMP of pure hydrocarbons by CO2. Pure hydrocarbons are subjected to CO2 flooding in slimtube simulationsat different temperatures. Pure hydrocarbons MMP cannot be determined by present correlations used in petroleum industry. At the end, CO2 MMP for each pure hydrocarbon up to C8 is obtained in temperatures varying from 15 to 70°C. As liquid CO2 is also used in these simulations, it showed that by using liquid CO2, the dependency of MMP to molecular weight of hydrocarbon will be decreased and usage of liquid CO2 will yield almost same result for all pure hydrocarbons used in this research. © Maxwell Scientific Organization, 2014.
date: 2014
publisher: Maxwell Science Publications
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84900507449&doi=10.19026%2frjaset.7.655&partnerID=40&md5=fdedbc914f9805fbf2eb84fd70b0dee8
id_number: 10.19026/rjaset.7.655
full_text_status: none
publication: Research Journal of Applied Sciences, Engineering and Technology
volume: 7
number: 15
pagerange: 3159-3163
refereed: TRUE
issn: 20407459
citation:   Hamdi, Z. and Awang, M.  (2014) CO2 minimum miscibility pressure determination of pure hydrocarbons in different temperatures using slimtube simulations.  Research Journal of Applied Sciences, Engineering and Technology, 7 (15).  pp. 3159-3163.  ISSN 20407459